Deep learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
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Feature request
Is the addition of the 'OPTforSequenceClassification' class scheduled?
Is someone handling it?
When adding these functions, I wonder if it is possible to PR one by one, or if I have to PR all classes supported by other models.
Motivation
Added function of OPT class, which is being actively discussed recently
Your contribution
I personally use the forSequenceCla
🚀 The feature, motivation and pitch
The current implementation of Zero Redundancy optimizer has its own implementation of object broadcasting.
We should replace it with c10d [broadcast_object_list](https://pytorch.org/docs/stable/distributed.html#torch.distributed.broadcast_object_lis
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This is a nice first issue:
Add types/docments to the Learner.get_preds
function. This function is essential to any fastai
user and has almost no documentation. Add types and text to the variables as we have in many places now.
文本中如果有数字读不出来
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What happened + What you expected to happen
When initializing a Ray Trainer, we provide a logdir
argument, and the __init__
method of the Trainer stores it as a logdir
class variable.
Then, when creating a Trainable with Trainer.to_tune_trainable()
, it in-turn calls _create_tune_trainable()
, which does not use self.logdir
. So when tune_function
is defined inside `_create_tu
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- Wikipedia
- Wikipedia
Current implementation of Go binding can not specify options.
GPUOptions struct is in internal package. And
go generate
doesn't work for protobuf directory. So we can't specify GPUOptions forNewSession
.